A Guide to Neural Network Verification

Comprehensive guides covering foundational concepts to cutting-edge research techniques.

Phase 1

Foundations

Why verification matters, threat models, problem formulation, and theoretical fundamentals.

Neural Network Verification Why Verification Verification Problem Threat Models Soundness & Completeness Verification Taxonomy Theoretical Barriers
Phase 2

Methods & Tools

Core verification techniques including bound propagation, LP, SMT/MILP, and specialized methods.

Activation Functions Bound Propagation Branch and Bound LP Verification SMT & MILP Verification Lipschitz Verification SDP Verification Marabou & Reluplex PRIMA Verification Operation Decomposition
Phase 3

Practice

Practical applications including robustness testing, certified training, benchmarks, and specifications.

Robustness Testing Guide Formal Specifications Falsifiers & Verifiers Verification Benchmarks Certified Adversarial Training Regularization & Training
Phase 4

Advanced Topics

Cutting-edge research including scalability challenges, diverse architectures, and certified defenses.

Verification Scalability Diverse Architectures Training Robust Networks Certified Defenses Alternative Threats Real-World Applications